College Tales: Pilot Study on Large Language Models Generated Narratives for Mental Health Literacy
Mental health, while a crucial component of health, has often been neglected and stigmatised. University students, considering their unique situations and stressors, are more vulnerable to experiencing mental health challenges and being affected by stigma. The use of Large Language Models (LLMs) creates an opportunity to impart knowledge through digital interventions to address stigma, misinformation, and increase Mental Health Literacy in university students. Using a LLM generated prompt game, we conducted a pilot study with 5 mental health professionals. Through semi-structured interviews about the prototype and the narrative, we identified several narrative problems, such as missing information or overly simplified concepts. While the prototype has limitations, the participants considered it to have potential to be integrated as a tool for professionals.
Authors
- Paulo Bala (ORCID: https://orcid.org/0000-0003-1743-0261)
- Pedro Campos (ORCID: https://orcid.org/0000-0001-7706-5038)
- José Pedro Vieira Sousa (ORCID: https://orcid.org/0009-0006-3331-4243)
Institutions
- Active Technologies (Italy) (IT)
- Instituto de Tecnologias Interativas
- Universidade da Madeira (PT)
Publication Details
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1145/3681716.3689447
- Citations
- 3
- Primary Topic
- Mental Health Treatment and Access
- Type
- article
- Field-Weighted Citation Impact
- 1.93